NAME

Paws::Forecast - Perl Interface to AWS Amazon Forecast Service

SYNOPSIS

use Paws;

my $obj = Paws->service('Forecast');
my $res = $obj->Method(
  Arg1 => $val1,
  Arg2 => [ 'V1', 'V2' ],
  # if Arg3 is an object, the HashRef will be used as arguments to the constructor
  # of the arguments type
  Arg3 => { Att1 => 'Val1' },
  # if Arg4 is an array of objects, the HashRefs will be passed as arguments to
  # the constructor of the arguments type
  Arg4 => [ { Att1 => 'Val1'  }, { Att1 => 'Val2' } ],
);

DESCRIPTION

Provides APIs for creating and managing Amazon Forecast resources.

For the AWS API documentation, see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26

METHODS

CreateDataset

DatasetName => Str
DatasetType => Str
Domain => Str
Schema => Paws::Forecast::Schema
[DataFrequency => Str]
[EncryptionConfig => Paws::Forecast::EncryptionConfig]
[Tags => ArrayRef[Paws::Forecast::Tag]]

Each argument is described in detail in: Paws::Forecast::CreateDataset

Returns: a Paws::Forecast::CreateDatasetResponse instance

Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:

DataFrequency - How frequently your historical time-series data is collected.
Domain and DatasetType - Each dataset has an associated dataset domain and a type within the domain. Amazon Forecast provides a list of predefined domains and types within each domain. For each unique dataset domain and type within the domain, Amazon Forecast requires your data to include a minimum set of predefined fields.
Schema - A schema specifies the fields in the dataset, including the field name and data type.

After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see howitworks-datasets-groups.

To get a list of all your datasets, use the ListDatasets operation.

For example Forecast datasets, see the Amazon Forecast Sample GitHub repository (https://github.com/aws-samples/amazon-forecast-samples).

The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.

CreateDatasetGroup

DatasetGroupName => Str
Domain => Str
[DatasetArns => ArrayRef[Str|Undef]]
[Tags => ArrayRef[Paws::Forecast::Tag]]

Each argument is described in detail in: Paws::Forecast::CreateDatasetGroup

Returns: a Paws::Forecast::CreateDatasetGroupResponse instance

Creates a dataset group, which holds a collection of related datasets. You can add datasets to the dataset group when you create the dataset group, or later by using the UpdateDatasetGroup operation.

After creating a dataset group and adding datasets, you use the dataset group when you create a predictor. For more information, see howitworks-datasets-groups.

To get a list of all your datasets groups, use the ListDatasetGroups operation.

The Status of a dataset group must be ACTIVE before you can use the dataset group to create a predictor. To get the status, use the DescribeDatasetGroup operation.

CreateDatasetImportJob

DatasetArn => Str
DatasetImportJobName => Str
DataSource => Paws::Forecast::DataSource
[GeolocationFormat => Str]
[Tags => ArrayRef[Paws::Forecast::Tag]]
[TimestampFormat => Str]
[TimeZone => Str]
[UseGeolocationForTimeZone => Bool]

Each argument is described in detail in: Paws::Forecast::CreateDatasetImportJob

Returns: a Paws::Forecast::CreateDatasetImportJobResponse instance

Imports your training data to an Amazon Forecast dataset. You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.

You must specify a DataSource object that includes an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy of your data and processes it in an internal AWS system. For more information, see aws-forecast-iam-roles.

The training data must be in CSV format. The delimiter must be a comma (,).

You can specify the path to a specific CSV file, the S3 bucket, or to a folder in the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000 files.

Because dataset imports are not aggregated, your most recent dataset import is the one that is used when training a predictor or generating a forecast. Make sure that your most recent dataset import contains all of the data you want to model off of, and not just the new data collected since the previous import.

To get a list of all your dataset import jobs, filtered by specified criteria, use the ListDatasetImportJobs operation.

CreateForecast

ForecastName => Str
PredictorArn => Str
[ForecastTypes => ArrayRef[Str|Undef]]
[Tags => ArrayRef[Paws::Forecast::Tag]]

Each argument is described in detail in: Paws::Forecast::CreateForecast

Returns: a Paws::Forecast::CreateForecastResponse instance

Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor. This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the CreateForecastExportJob operation.

The range of the forecast is determined by the ForecastHorizon value, which you specify in the CreatePredictor request. When you query a forecast, you can request a specific date range within the forecast.

To get a list of all your forecasts, use the ListForecasts operation.

The forecasts generated by Amazon Forecast are in the same time zone as the dataset that was used to create the predictor.

For more information, see howitworks-forecast.

The Status of the forecast must be ACTIVE before you can query or export the forecast. Use the DescribeForecast operation to get the status.

CreateForecastExportJob

Destination => Paws::Forecast::DataDestination
ForecastArn => Str
ForecastExportJobName => Str
[Tags => ArrayRef[Paws::Forecast::Tag]]

Each argument is described in detail in: Paws::Forecast::CreateForecastExportJob

Returns: a Paws::Forecast::CreateForecastExportJobResponse instance

Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:

where the <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).

You must specify a DataDestination object that includes an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

For more information, see howitworks-forecast.

To get a list of all your forecast export jobs, use the ListForecastExportJobs operation.

The Status of the forecast export job must be ACTIVE before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeForecastExportJob operation.

CreatePredictor

FeaturizationConfig => Paws::Forecast::FeaturizationConfig
ForecastHorizon => Int
InputDataConfig => Paws::Forecast::InputDataConfig
PredictorName => Str
[AlgorithmArn => Str]
[AutoMLOverrideStrategy => Str]
[EncryptionConfig => Paws::Forecast::EncryptionConfig]
[EvaluationParameters => Paws::Forecast::EvaluationParameters]
[ForecastTypes => ArrayRef[Str|Undef]]
[HPOConfig => Paws::Forecast::HyperParameterTuningJobConfig]
[PerformAutoML => Bool]
[PerformHPO => Bool]
[Tags => ArrayRef[Paws::Forecast::Tag]]
[TrainingParameters => Paws::Forecast::TrainingParameters]

Each argument is described in detail in: Paws::Forecast::CreatePredictor

Returns: a Paws::Forecast::CreatePredictorResponse instance

Creates an Amazon Forecast predictor.

In the request, provide a dataset group and either specify an algorithm or let Amazon Forecast choose an algorithm for you using AutoML. If you specify an algorithm, you also can override algorithm-specific hyperparameters.

Amazon Forecast uses the algorithm to train a predictor using the latest version of the datasets in the specified dataset group. You can then generate a forecast using the CreateForecast operation.

To see the evaluation metrics, use the GetAccuracyMetrics operation.

You can specify a featurization configuration to fill and aggregate the data fields in the TARGET_TIME_SERIES dataset to improve model training. For more information, see FeaturizationConfig.

For RELATED_TIME_SERIES datasets, CreatePredictor verifies that the DataFrequency specified when the dataset was created matches the ForecastFrequency. TARGET_TIME_SERIES datasets don't have this restriction. Amazon Forecast also verifies the delimiter and timestamp format. For more information, see howitworks-datasets-groups.

By default, predictors are trained and evaluated at the 0.1 (P10), 0.5 (P50), and 0.9 (P90) quantiles. You can choose custom forecast types to train and evaluate your predictor by setting the ForecastTypes.

AutoML

If you want Amazon Forecast to evaluate each algorithm and choose the one that minimizes the objective function, set PerformAutoML to true. The objective function is defined as the mean of the weighted losses over the forecast types. By default, these are the p10, p50, and p90 quantile losses. For more information, see EvaluationResult.

When AutoML is enabled, the following properties are disallowed:

AlgorithmArn
HPOConfig
PerformHPO
TrainingParameters

To get a list of all of your predictors, use the ListPredictors operation.

Before you can use the predictor to create a forecast, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.

CreatePredictorBacktestExportJob

Destination => Paws::Forecast::DataDestination
PredictorArn => Str
PredictorBacktestExportJobName => Str
[Tags => ArrayRef[Paws::Forecast::Tag]]

Each argument is described in detail in: Paws::Forecast::CreatePredictorBacktestExportJob

Returns: a Paws::Forecast::CreatePredictorBacktestExportJobResponse instance

Exports backtest forecasts and accuracy metrics generated by the CreatePredictor operation. Two folders containing CSV files are exported to your specified S3 bucket.

The export file names will match the following conventions:

<ExportJobName>_<ExportTimestamp>_<PartNumber>.csv

The <ExportTimestamp> component is in Java SimpleDate format (yyyy-MM-ddTHH-mm-ssZ).

You must specify a DataDestination object that includes an Amazon S3 bucket and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

The Status of the export job must be ACTIVE before you can access the export in your Amazon S3 bucket. To get the status, use the DescribePredictorBacktestExportJob operation.

DeleteDataset

DatasetArn => Str

Each argument is described in detail in: Paws::Forecast::DeleteDataset

Returns: nothing

Deletes an Amazon Forecast dataset that was created using the CreateDataset operation. You can only delete datasets that have a status of ACTIVE or CREATE_FAILED. To get the status use the DescribeDataset operation.

Forecast does not automatically update any dataset groups that contain the deleted dataset. In order to update the dataset group, use the operation, omitting the deleted dataset's ARN.

DeleteDatasetGroup

DatasetGroupArn => Str

Each argument is described in detail in: Paws::Forecast::DeleteDatasetGroup

Returns: nothing

Deletes a dataset group created using the CreateDatasetGroup operation. You can only delete dataset groups that have a status of ACTIVE, CREATE_FAILED, or UPDATE_FAILED. To get the status, use the DescribeDatasetGroup operation.

This operation deletes only the dataset group, not the datasets in the group.

DeleteDatasetImportJob

DatasetImportJobArn => Str

Each argument is described in detail in: Paws::Forecast::DeleteDatasetImportJob

Returns: nothing

Deletes a dataset import job created using the CreateDatasetImportJob operation. You can delete only dataset import jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeDatasetImportJob operation.

DeleteForecast

ForecastArn => Str

Each argument is described in detail in: Paws::Forecast::DeleteForecast

Returns: nothing

Deletes a forecast created using the CreateForecast operation. You can delete only forecasts that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecast operation.

You can't delete a forecast while it is being exported. After a forecast is deleted, you can no longer query the forecast.

DeleteForecastExportJob

ForecastExportJobArn => Str

Each argument is described in detail in: Paws::Forecast::DeleteForecastExportJob

Returns: nothing

Deletes a forecast export job created using the CreateForecastExportJob operation. You can delete only export jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecastExportJob operation.

DeletePredictor

PredictorArn => Str

Each argument is described in detail in: Paws::Forecast::DeletePredictor

Returns: nothing

Deletes a predictor created using the CreatePredictor operation. You can delete only predictor that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribePredictor operation.

DeletePredictorBacktestExportJob

PredictorBacktestExportJobArn => Str

Each argument is described in detail in: Paws::Forecast::DeletePredictorBacktestExportJob

Returns: nothing

Deletes a predictor backtest export job.

DeleteResourceTree

ResourceArn => Str

Each argument is described in detail in: Paws::Forecast::DeleteResourceTree

Returns: nothing

Deletes an entire resource tree. This operation will delete the parent resource and its child resources.

Child resources are resources that were created from another resource. For example, when a forecast is generated from a predictor, the forecast is the child resource and the predictor is the parent resource.

Amazon Forecast resources possess the following parent-child resource hierarchies:

Dataset: dataset import jobs
Dataset Group: predictors, predictor backtest export jobs, forecasts, forecast export jobs
Predictor: predictor backtest export jobs, forecasts, forecast export jobs
Forecast: forecast export jobs

DeleteResourceTree will only delete Amazon Forecast resources, and will not delete datasets or exported files stored in Amazon S3.

DescribeDataset

DatasetArn => Str

Each argument is described in detail in: Paws::Forecast::DescribeDataset

Returns: a Paws::Forecast::DescribeDatasetResponse instance

Describes an Amazon Forecast dataset created using the CreateDataset operation.

In addition to listing the parameters specified in the CreateDataset request, this operation includes the following dataset properties:

CreationTime
LastModificationTime
Status

DescribeDatasetGroup

DatasetGroupArn => Str

Each argument is described in detail in: Paws::Forecast::DescribeDatasetGroup

Returns: a Paws::Forecast::DescribeDatasetGroupResponse instance

Describes a dataset group created using the CreateDatasetGroup operation.

In addition to listing the parameters provided in the CreateDatasetGroup request, this operation includes the following properties:

DatasetArns - The datasets belonging to the group.
CreationTime
LastModificationTime
Status

DescribeDatasetImportJob

DatasetImportJobArn => Str

Each argument is described in detail in: Paws::Forecast::DescribeDatasetImportJob

Returns: a Paws::Forecast::DescribeDatasetImportJobResponse instance

Describes a dataset import job created using the CreateDatasetImportJob operation.

In addition to listing the parameters provided in the CreateDatasetImportJob request, this operation includes the following properties:

CreationTime
LastModificationTime
DataSize
FieldStatistics
Status
Message - If an error occurred, information about the error.

DescribeForecast

ForecastArn => Str

Each argument is described in detail in: Paws::Forecast::DescribeForecast

Returns: a Paws::Forecast::DescribeForecastResponse instance

Describes a forecast created using the CreateForecast operation.

In addition to listing the properties provided in the CreateForecast request, this operation lists the following properties:

DatasetGroupArn - The dataset group that provided the training data.
CreationTime
LastModificationTime
Status
Message - If an error occurred, information about the error.

DescribeForecastExportJob

ForecastExportJobArn => Str

Each argument is described in detail in: Paws::Forecast::DescribeForecastExportJob

Returns: a Paws::Forecast::DescribeForecastExportJobResponse instance

Describes a forecast export job created using the CreateForecastExportJob operation.

In addition to listing the properties provided by the user in the CreateForecastExportJob request, this operation lists the following properties:

CreationTime
LastModificationTime
Status
Message - If an error occurred, information about the error.

DescribePredictor

PredictorArn => Str

Each argument is described in detail in: Paws::Forecast::DescribePredictor

Returns: a Paws::Forecast::DescribePredictorResponse instance

Describes a predictor created using the CreatePredictor operation.

In addition to listing the properties provided in the CreatePredictor request, this operation lists the following properties:

DatasetImportJobArns - The dataset import jobs used to import training data.
AutoMLAlgorithmArns - If AutoML is performed, the algorithms that were evaluated.
CreationTime
LastModificationTime
Status
Message - If an error occurred, information about the error.

DescribePredictorBacktestExportJob

PredictorBacktestExportJobArn => Str

Each argument is described in detail in: Paws::Forecast::DescribePredictorBacktestExportJob

Returns: a Paws::Forecast::DescribePredictorBacktestExportJobResponse instance

Describes a predictor backtest export job created using the CreatePredictorBacktestExportJob operation.

In addition to listing the properties provided by the user in the CreatePredictorBacktestExportJob request, this operation lists the following properties:

CreationTime
LastModificationTime
Status
Message (if an error occurred)

GetAccuracyMetrics

PredictorArn => Str

Each argument is described in detail in: Paws::Forecast::GetAccuracyMetrics

Returns: a Paws::Forecast::GetAccuracyMetricsResponse instance

Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation. Use metrics to see how well the model performed and to decide whether to use the predictor to generate a forecast. For more information, see Predictor Metrics (https://docs.aws.amazon.com/forecast/latest/dg/metrics.html).

This operation generates metrics for each backtest window that was evaluated. The number of backtest windows (NumberOfBacktestWindows) is specified using the EvaluationParameters object, which is optionally included in the CreatePredictor request. If NumberOfBacktestWindows isn't specified, the number defaults to one.

The parameters of the filling method determine which items contribute to the metrics. If you want all items to contribute, specify zero. If you want only those items that have complete data in the range being evaluated to contribute, specify nan. For more information, see FeaturizationMethod.

Before you can get accuracy metrics, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.

ListDatasetGroups

[MaxResults => Int]
[NextToken => Str]

Each argument is described in detail in: Paws::Forecast::ListDatasetGroups

Returns: a Paws::Forecast::ListDatasetGroupsResponse instance

Returns a list of dataset groups created using the CreateDatasetGroup operation. For each dataset group, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the dataset group ARN with the DescribeDatasetGroup operation.

ListDatasetImportJobs

[Filters => ArrayRef[Paws::Forecast::Filter]]
[MaxResults => Int]
[NextToken => Str]

Each argument is described in detail in: Paws::Forecast::ListDatasetImportJobs

Returns: a Paws::Forecast::ListDatasetImportJobsResponse instance

Returns a list of dataset import jobs created using the CreateDatasetImportJob operation. For each import job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the ARN with the DescribeDatasetImportJob operation. You can filter the list by providing an array of Filter objects.

ListDatasets

[MaxResults => Int]
[NextToken => Str]

Each argument is described in detail in: Paws::Forecast::ListDatasets

Returns: a Paws::Forecast::ListDatasetsResponse instance

Returns a list of datasets created using the CreateDataset operation. For each dataset, a summary of its properties, including its Amazon Resource Name (ARN), is returned. To retrieve the complete set of properties, use the ARN with the DescribeDataset operation.

ListForecastExportJobs

[Filters => ArrayRef[Paws::Forecast::Filter]]
[MaxResults => Int]
[NextToken => Str]

Each argument is described in detail in: Paws::Forecast::ListForecastExportJobs

Returns: a Paws::Forecast::ListForecastExportJobsResponse instance

Returns a list of forecast export jobs created using the CreateForecastExportJob operation. For each forecast export job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, use the ARN with the DescribeForecastExportJob operation. You can filter the list using an array of Filter objects.

ListForecasts

[Filters => ArrayRef[Paws::Forecast::Filter]]
[MaxResults => Int]
[NextToken => Str]

Each argument is described in detail in: Paws::Forecast::ListForecasts

Returns: a Paws::Forecast::ListForecastsResponse instance

Returns a list of forecasts created using the CreateForecast operation. For each forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, specify the ARN with the DescribeForecast operation. You can filter the list using an array of Filter objects.

ListPredictorBacktestExportJobs

[Filters => ArrayRef[Paws::Forecast::Filter]]
[MaxResults => Int]
[NextToken => Str]

Each argument is described in detail in: Paws::Forecast::ListPredictorBacktestExportJobs

Returns: a Paws::Forecast::ListPredictorBacktestExportJobsResponse instance

Returns a list of predictor backtest export jobs created using the CreatePredictorBacktestExportJob operation. This operation returns a summary for each backtest export job. You can filter the list using an array of Filter objects.

To retrieve the complete set of properties for a particular backtest export job, use the ARN with the DescribePredictorBacktestExportJob operation.

ListPredictors

[Filters => ArrayRef[Paws::Forecast::Filter]]
[MaxResults => Int]
[NextToken => Str]

Each argument is described in detail in: Paws::Forecast::ListPredictors

Returns: a Paws::Forecast::ListPredictorsResponse instance

Returns a list of predictors created using the CreatePredictor operation. For each predictor, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the ARN with the DescribePredictor operation. You can filter the list using an array of Filter objects.

ListTagsForResource

ResourceArn => Str

Each argument is described in detail in: Paws::Forecast::ListTagsForResource

Returns: a Paws::Forecast::ListTagsForResourceResponse instance

Lists the tags for an Amazon Forecast resource.

StopResource

ResourceArn => Str

Each argument is described in detail in: Paws::Forecast::StopResource

Returns: nothing

Stops a resource.

The resource undergoes the following states: CREATE_STOPPING and CREATE_STOPPED. You cannot resume a resource once it has been stopped.

This operation can be applied to the following resources (and their corresponding child resources):

Dataset Import Job
Predictor Job
Forecast Job
Forecast Export Job
Predictor Backtest Export Job

TagResource

ResourceArn => Str
Tags => ArrayRef[Paws::Forecast::Tag]

Each argument is described in detail in: Paws::Forecast::TagResource

Returns: a Paws::Forecast::TagResourceResponse instance

Associates the specified tags to a resource with the specified resourceArn. If existing tags on a resource are not specified in the request parameters, they are not changed. When a resource is deleted, the tags associated with that resource are also deleted.

UntagResource

ResourceArn => Str
TagKeys => ArrayRef[Str|Undef]

Each argument is described in detail in: Paws::Forecast::UntagResource

Returns: a Paws::Forecast::UntagResourceResponse instance

Deletes the specified tags from a resource.

UpdateDatasetGroup

DatasetArns => ArrayRef[Str|Undef]
DatasetGroupArn => Str

Each argument is described in detail in: Paws::Forecast::UpdateDatasetGroup

Returns: a Paws::Forecast::UpdateDatasetGroupResponse instance

Replaces the datasets in a dataset group with the specified datasets.

The Status of the dataset group must be ACTIVE before you can use the dataset group to create a predictor. Use the DescribeDatasetGroup operation to get the status.

PAGINATORS

Paginator methods are helpers that repetively call methods that return partial results